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Spatial statistics and spatio-temporal data : covariance functions and directional properties / Michael Sherman.

By: Sherman, Michael, 1963-Material type: Text

TextSeries: Wiley series in probability and statisticsPublisher: Chichester, West Sussex, U.K. : Wiley, 2011Description: 1 online resource (xiii, 268 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9780470974407; 0470974400; 9780470974391; 0470974397; 9780470974926; 0470974923; 9781283858687; 1283858681Subject(s): Analysis of covariance | Spatial analysis (Statistics) | Space and time | Mathematics | MATHEMATICS -- Probability & Statistics -- General | Analysis of covariance | Space and time | Spatial analysis (Statistics)Genre/Form: Electronic books.Additional physical formats: Print version:: Spatial statistics and spatio-temporal data.DDC classification: 519.538 LOC classification: QA279 | .S54 2010QA278.2 | .S497 2011ebOnline resources: Wiley Online Library

Contents:

Geostatistics -- Variogram and covariance models and estimation -- Spatial models and statistical inference -- Isotropy -- Space-time data -- Spatial point patterns -- Isotropy for spatial point patterns -- Multivariate spatial and spatio-temporal models -- Resampling for correlated observations.

Summary: In the spatial or space-time context, specifying the correct covariance function is important to obtain efficient predictions and to understand the underlying physical process of interest. There have been several books in recent years in the general area of spatial statistics. This book focuses on covariance and variogram functions, their role in prediction, and the proper choice of these functions in data applications. Presenting recent methods from 2004-2007 alongside more established methodology of assessing the usual assumptions on such functions such as isotropy, separability and symmetry.

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Item type	Current library	Call number	Status	Date due	Barcode
Ebooks	Mysore University Main Library		Not for loan		EBJW398

Includes bibliographical references (pages 251-262) and index.

In the spatial or space-time context, specifying the correct covariance function is important to obtain efficient predictions and to understand the underlying physical process of interest. There have been several books in recent years in the general area of spatial statistics. This book focuses on covariance and variogram functions, their role in prediction, and the proper choice of these functions in data applications. Presenting recent methods from 2004-2007 alongside more established methodology of assessing the usual assumptions on such functions such as isotropy, separability and symmetry.

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